Flexible online adaptation of learning strategy using EEG-based reinforcement signals in real-world robotic applications

Research article (2020 IEEE International Conference on Robotics and Automation (ICRA), 2020) · cited 12× · AI/ML
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Flexible online adaptation of learning strategy using EEG-based reinforcement signals in real-world robotic applications

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Flexible online adaptation of learning strategy using EEG-based reinforcement signals in real-world robotic applications is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Flexible online adaptation of learning strategy using EEG-based reinforcement signals in real-world robotic applications. Retrieved May 24, 2026, from https://4ort.xyz/entity/flexible-online-adaptation-of-learning-strategy-using-eeg-based-reinforcement-signals-in-real-world-robotic-applications
MLA “Flexible online adaptation of learning strategy using EEG-based reinforcement signals in real-world robotic applications.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/flexible-online-adaptation-of-learning-strategy-using-eeg-based-reinforcement-signals-in-real-world-robotic-applications.
BibTeX @misc{4ortxyz_flexible-online-adaptation-of-learning-strategy-using-eeg-based-reinforcement-signals-in-real-world-robotic-applications_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Flexible online adaptation of learning strategy using EEG-based reinforcement signals in real-world robotic applications}}, year = {2026}, url = {https://4ort.xyz/entity/flexible-online-adaptation-of-learning-strategy-using-eeg-based-reinforcement-signals-in-real-world-robotic-applications}, note = {Accessed: 2026-05-24}}
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